Piperic Business Intelligence
similar sites
‹ profile

Sites similar to bare-bones.dev

Bare Bones · ranked by category · tech stack · backlink co-citation
40match
fijnheer.com
Nigel Fijnheer - Portfolio
2 co-citations3 shared tech1 shared categoryweb-design-and-html
40match
gregoiredalmasso.com
Grégoire Dalmasso - Web Developper
0 co-citations3 shared tech1 shared categoryweb-development
38match
hawrani.com
-
2 co-citations2 shared tech1 shared categoryweb-development
37match
elenidigidiki.com
Eleni Digidiki
2 co-citations2 shared tech1 shared categoryweb-design-and-html
36match
jennamvitale.com
Jenna Vitale
2 co-citations3 shared tech1 shared categoryweb-design-and-html
35match
anujshah.io
Anuj Shah
2 co-citations3 shared tech0 shared categoryartificial-intelligence
34match
hizirozcelik.com
Hizir Ozcelik | Personal website
1 co-citations3 shared tech0 shared categoryweb-development
34match
marcotrabattoni.com
1 co-citations2 shared tech1 shared categoryweb-design-and-html
33match
bakyazi.com
I'm Berkay
3 co-citations3 shared tech0 shared categoryprogramming-languages
33match
jennafairlo.com
Jenna Fairlo: Product Designer based in DC area
3 co-citations3 shared tech1 shared categoryweb-design-and-html
33match
barbaramae.com
Barbara Mae Lewis
2 co-citations2 shared tech1 shared categoryweb-development
32match
hexasuposhohor.com
HEXAS | Login
0 co-citations3 shared tech1 shared categoryweb-design-and-html
32match
hexasbeanibazar.com
HEXAS | Login
0 co-citations3 shared tech1 shared categoryweb-design-and-html
32match
hoabert.com
Hoa X. Nguyen - Designer + Developer
0 co-citations3 shared tech1 shared categoryweb-development
32match
grid-layout.com
CSS Grid Layout
0 co-citations3 shared tech1 shared categoryweb-design-and-html
32match
cerberusemail.com
Cerberus - Patterns for Responsive HTML Email Templates
2 co-citations1 shared tech2 shared categoryemail
32match
bornazandipour.com
Borna Zandipour's Portfolio Website
4 co-citations2 shared tech1 shared categoryweb-design-and-html
32match
matthelbig.com
Matt Helbig
2 co-citations2 shared tech1 shared categoryemail

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.